Mohamed-El-Amine BRAHMIA

Lecturer-researcher

France

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About

Dr. Mohamed-El-Amine BRAHMIA is a Lecturer-Researcher at CESI LINEACT in France. His research interests encompass federated learning, multi-task learning in blockchains, and intrusion detection in IoT networks. He has published extensively on topics including energy consumption scheduling in smart buildings and artificial intelligence deployment techniques in wireless sensor networks.

Articles (7)

Year:

2024

Year:

2024

Year:

2024

Year:

2024

Year:

2022

Year:

2022

Year:

2022

Collaborators (2)

Laurent Moalic

Université de Haute-Alsace

FRANCE

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Lhassane Idoumghar

FRANCE

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Mohamed-El-Amine BRAHMIA

Research Interests

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Articles (7)

Federated Learning Survey: A Multi-Level Taxonomy of Aggregation Techniques, Experimental Insights, and Future Frontiers

Multi-task learning for PBFT optimisation in permissioned blockchains

GDLC: A new Graph Deep Learning framework based on centrality measures for intrusion detection in IoT networks

An intelligent mechanism for energy consumption scheduling in smart buildings

A Survey of Artificial Intelligence Based WSNs Deployment Techniques and Related Objectives Modeling

A Survey of Artificial Intelligence Based WSNs Deployment Techniques and Related Objectives Modeling

Modeling the Greedy Behavior Attack and Analyzing its Impact on IoT Networks

Collaborators (2)

Laurent Moalic

Lhassane Idoumghar

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